DEVELOPING ACCURATE SPATIAL MAPS OF COTTON FIBER QUALITY PARAMETERS

Awareness of the importance of cotton fiber quality (Gossypium, L. sps.) has increased as advances in spinning technology require better quality cotton fiber. Recent advances in geospatial information sciences allow an improved ability to study the extent and causes of spatial variability in fiber parameters. However, these studies are often harvested by hand and ginned on small research gins. Fiber quality from cotton lint harvested and ginned in this manner is different from that machine-harvested and ginned on production-scale equipment. The objective of this study was to develop a method of correcting for error introduced into cotton fiber quality parameters from samples as a result of harvest and ginning methods. This correction method will allow more realistic comparisons between results that researchers commonly report and measurements that a producer would receive. Field-grown cotton was harvested either by machine or hand, and ginned on a small research gin or a production-scale gin. The results reported here examine the population characteristics for physiological fiber parameters including micronaire, strength, length and uniformity. The correction needed for translating the research results to the production scale was determined. The error inherent in that correction was determined for different populations of cotton fibers from different years. To demonstrate the impact of the research-induced error and the correction factor, spatial maps of cotton fiber length are plotted

Improving Resilience of Corn to Weather through Improved Fertilizer Efficiency

Fertilization is a critical management tool to improve crop productivity. Corn requires more N fertilizer than some other crops, but the fertility needs of the crop vary based on the growing environment. In this study, we used a modeling approach to examine the historical record and delineate the interaction between fertilizer and weather on the sensitivity of corn yield to climate in southeastern Kansas. Providing optimal fertilizer can improve corn yield. However, too much fertilizer can be expensive and wasteful. This study demonstrated that the climate resilience of corn is moderated by how much fertilizer is applied. The model results concluded that the optimal N fertilizer rate should be adjusted based on weather conditions

Hard Red and Soft Red Winter Wheat Variety Testing - 2023

This is a summary of the winter wheat production conditions in southeast Kansas in 2021-2022 and the results of the winter wheat variety testing. Wheat production in 2022 benefited from dry conditions at flowering and harvest. Overall yields of hard red wheat were above multi-year averages, while soft red wheat yields were below the 15-year average. As in previous years, soft red winter wheat out-yielded hard red winter wheat varieties, but the extent was not as dramatic as in previous years

Hard Red and Soft Red Winter Wheat Variety Testing - 2023

This is a summary of the winter wheat production conditions in Kansas, with particular emphasis on the variety trial results from southeast Kansas in 2023. After the dry conditions of 2022, adequate rain for wheat establishment and growth in the fall in southeast Kansas was received, although drought conditions were observed in central and western Kansas. The growing season had slightly below average rainfall, with adequate soil moisture in the fall for good stand establishment. Overall yields of hard and soft red wheat varieties were above multi-year averages, but slightly below the yields from 2022. As in previous years, soft red winter wheat out-yielded hard red winter wheat varieties, but the extent was not as dramatic as in previous years

Corn and Soybean Production – 2023 Summary

Soybean and corn varieties were tested in replicated field trials at the Southeast Research and Extension Center in Parsons through the Kansas State University variety testing program. In total, 21 corn varieties and full-, mid-, and short-season maturity checks were tested. Fifteen full-season and nine double-cropped soybean varieties were tested, with three maturity checks ranging in maturity from 3.1 to 5.2. Fourteen sunflower varieties were also tested. The 2023 summer crop growing season was nearly average for both temperature and rainfall. Yields from the variety tests were slightly lower than the 13-year average

Corn and Soybean Production – 2022 Summary

Soybean and corn varieties were tested in replicated field trials at the Southeast Research and Extension Center in Parsons through the Kansas State University variety testing program. In total, nine corn varieties and three maturity checks were tested. Fourteen full season and ten double-cropped soybean varieties were tested, with three maturity checks. Additionally, sorghum and sunflower varieties were tested. The 2022 summer crop growing season was challenging. High temperatures and low rainfall reduced crop production. Crop production was severely impacted by the hot, dry conditions, both across the state and in the cultivar trials at Parsons. No yield results are available for the variety tests from Parsons

Role of Soil Management in Control of Soil-Borne Diseases

Soil-borne diseases are a significant cause of crop yield reduction. Alternative soilmanagement methods can enhance the soil’s natural disease-controlling organisms. This study explores the effect of alternative production methods on a primary soybean disease, charcoal rot, caused by the fungus Macrophomina phaseolina. Treatments that could potentially enhance or reduce the disease pressure were implemented, and soil tests were conducted for nutrients, soil properties, and disease presence. Manure increased the nutrient levels in the soil, as expected, but did not influence disease control. Solarization increased the temperature within the plots and increased the number of colony-forming units (CFUs) of M. phaseolina

Critical Soil Health Parameters to Improve Crop Production

Soil health is a critical determinant of plant performance. This manuscript describes how the physical, chemical, and biological components within the soil interact to create good soil health. Soil structure is important to provide support for plants, nutrient and water cycling, decreased compaction, and more efficient carbon storage. Measurements of soil properties are presented that can be done in the field on any soil

Exploring Agricultural Production Systems and Their Fundamental Components with System Dynamics Modelling

Agricultural production in the United States is undergoing marked changes due to rapid shifts in consumer demands, input costs, and concerns for food safety and environmental impact. Agricultural production systems are comprised of multidimensional components and drivers that interact in complex ways to influence production sustainability. In a mixed-methods approach, we combine qualitative and quantitative data to develop and simulate a system dynamics model that explores the systemic interaction of these drivers on the economic, environmental and social sustainability of agricultural production. We then use this model to evaluate the role of each driver in determining the differences in sustainability between three distinct production systems: crops only, livestock only, and an integrated crops and livestock system. The result from these modelling efforts found that the greatest potential for sustainability existed with the crops only production system. While this study presents a stand-alone contribution to sector knowledge and practice, it encourages future research in this sector that employs similar systems-based methods to enable more sustainable practices and policies within agricultural production

Control of Soil-Borne Disease of Soybean

Soil-borne diseases are a significant cause of reduction in crop yield. Alternative management of soils can enhance the natural disease-controlling organisms in the soil. This study explores the impact of alternative production methods on a primary soybean disease, charcoal rot, caused by the fungus Macrophomina phaseolina. Treatments that could potentially enhance or control the disease were implemented, and soil tests were conducted for nutrient and disease presence. Manure increased the nutrient levels in the soil, as expected, but did not impact the disease control. Solarization increased the temperature within the plots, and increased the number of colony forming units of M. phaseolina. Environmental conditions during the 2022 growing season were much hotter and drier than normal, leading to reduced soybean yields